Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

ACCESS TO MEDICAL IMAGING IN NORDIC AND ISOLATED COMMUNITIES: MIXED-METHODS EVALUATION OF QUALITY AND CULTURAL SAFETY OF SERVICES IN QUEBEC

The access to medical imaging is still limited for Indigenous and non-Indigenous population in remote communities. Teleradiology is now the standard of practice due to the small population size and the large geographical area to cover. The process of teleradiology is quite complex as it requires a very good coordination between the local and remote centres. Access to fast and reliable internet and strong communications channels between local and remote radiology teams are necessary to ensure good imaging quality, timely and efficient communication of imaging acquisition, transmission and interpretation. We propose to perform a quantitative and qualitative assessment of the teleradiology workflow in Northern and isolated communities of Quebec. During the first phase of the project, we will conduct an inventory of the medical imaging technologies available in both areas to assess the capabilities of data transmission and a good evaluation of the quality of the workflow among healthcare workers and stakeholders. In a second phase, we will evaluate the quality of the process as perceived by Indigenous and non-Indigenous population. At the end, we intend to provide an extensive inventory of the workflow of teleradiology in these communities and propose recommendations to improve the quality of imaging access.

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Faculty Supervisor:

Carl Chartrand-Lefebvre;Gilles Soulez

Student:

Partner:

Canadian Association of Radiologists

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

Université de Montréal

Program:

Elevate

Development of a Cell-Based Signaling Assay to Measure the Potency of a Therapeutic Antibody

Cytokines are proteins that can modulate cellular activity by binding to membrane-bound receptors or soluble receptors. When a cytokine binds to a soluble receptor, it follows the trans-signaling pathway. This signaling pathway induces unique effects on cellular activity which can drive disease progression. This proposal describes the development of a cell-based assay that can be used to test the potency of an inhibitor that prevents a cytokine from binding to its soluble receptor. A specific receptor will be introduced into a cell line to study the activity between the cytokine and the receptor. Then, the inhibitor produced by HyperMabs will be tested in this assay against appropriate controls. This will enable the company to quantify the potency of its candidate. Furthermore, the assay produced in this project will be useful for assessing the potency of future biologic candidates produced by HyperMabs.

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Faculty Supervisor:

Reza Salavati

Student:

Partner:

HyperMabs Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Software quality monitoring using AI/ML techniques

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends of software defects with the goal of using these data to predict software quality. Machine learning approaches leveraged in this work would allow Ericsson to better monitor software quality of their systems, which would result in more effective and easier software maintenance. The interns involved in this project will be trained in building robust ML pipelines and solving industrial problems. By collaborating with the worldwide 5G equipment and services leader Ericsson, the interns will gain industrial experience and validate research advances on industrial data.

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Faculty Supervisor:

Olga Baysal

Student:

Partner:

Ericsson Canada Inc (Ottawa, ON)

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Migration assistée, évènements climatiques extrêmes et changements climatiques: Étude de cas des populations d’épinettes blanches de l’est du Canada

L’épinette blanche est une espèce particulièrement sensible au gel printanier et automnal. En endommageant les méristèmes responsable de la croissance, le gel entraîne de fréquents échecs de régénération, surtout en zone boréale. Puisque le réchauffement moyen de la température de l’air déclenche plus hâtivement le débourrement des bourgeons, les méristèmes s’exposent davantage aux évènements de gel, ce qui pourrait intensifer le problème de retard de croissance et met en péril la gestion durable des forêts du Québec. En plantant des provenances du sud vers le nord, la migration assistée pourrait maintenir la productivité des plantations d’épinettes blanches. Nous proposons donc de développer un modèle prédictif de la susceptibilité aux gels de plusieurs populations d’épinettes blanches du Québec en fonction de leur climat d’origine, du climat de plantation et des changements climatiques. Puisque la rentabilité économique de notre partenaire (Matériaux Innovants Rayonier – RYAM Gestion forestière) est directement lié à sa capacité à s’approvisionner avec le bois coupé à l’écotone de la forêt tempérée et boréale du Québec, nos résultats permettant de maximiser la productivité des plantations établies à cet endroit l’intéresse fortement.

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Faculty Supervisor:

Mebarek Lamara

Student:

Partner:

Rayonier A.M. Canada S.E.N.C.;Chantiers de Chibougamau Ltée

Discipline:

Earth science

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Investigation of Lactocaseibacillus rhamnosus HA-114 and its underlying mechanisms as therapeutics for neurodegeneration – Year two

Many studies suggest that genes, environment, and age contribute to the onset of late-life neurodegenerative disease like amyotrophic lateral sclerosis. Epidemiological studies have shown correlations between environmental chemical exposure and neurodegeneration, but no direct and causal relationships have been established. Conversely, there may be environmental actors that suppress or delay neurodegeneration outcomes. The human body is the natural habitat for many microbes, including hundreds of bacterial species referred to as the microbiota. A growing body of work suggests that gut microbiota has a profound effect on health including for neurodegenerative diseases. Our laboratory uses the nematode C. elegans, and its genetic methodologies to model aspects of human neurodegenerative diseases. As part of previous therapeutic discovery program, findings from our worm model have been successfully translated to preclinical and clinical settings for human neurodegenerative disorders. We discovered a probiotic bacteria strain that suppresses neurodegeneration in C. elegans models of ALS. Using a combination of chemical-genetic approaches we propose to identify the neuroprotective molecules originating with the probiotic bacteria, and the genes and pathways essential for suppressing neurodegeneration in our C. elegans models. Along this project, we will explore whether homologue key molecules can be identified and validated in more advanced vertebrate.

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Faculty Supervisor:

Nicole Leclerc;Alex Parker

Student:

Partner:

Lallemand Bio Ingredients

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Elevate

Investigation of Lactocaseibacillus rhamnosus HA-114 and its underlying mechanisms as therapeutics for neurodegeneration

Many studies suggest that genes, environment, and age contribute to the onset of late-life neurodegenerative disease like amyotrophic lateral sclerosis. Epidemiological studies have shown correlations between environmental chemical exposure and neurodegeneration, but no direct and causal relationships have been established. Conversely, there may be environmental actors that suppress or delay neurodegeneration outcomes. The human body is the natural habitat for many microbes, including hundreds of bacterial species referred to as the microbiota. A growing body of work suggests that gut microbiota has a profound effect on health including for neurodegenerative diseases. Our laboratory uses the nematode C. elegans, and its genetic methodologies to model aspects of human neurodegenerative diseases. As part of previous therapeutic discovery program, findings from our worm model have been successfully translated to preclinical and clinical settings for human neurodegenerative disorders. We discovered a probiotic bacteria strain that suppresses neurodegeneration in C. elegans models of ALS. Using a combination of chemical-genetic approaches we propose to identify the neuroprotective molecules originating with the probiotic bacteria, and the genes and pathways essential for suppressing neurodegeneration in our C. elegans models. Along this project, we will explore whether homologue key molecules can be identified and validated in more advanced vertebrate.

View Full Project Description
Faculty Supervisor:

Alex Parker;Nicole Leclerc;Alex Parker

Student:

Partner:

Lallemand Bio Ingredients;Lallemand Health Solutions Inc (Montreal, QC)

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Elevate

High heat flux microprocessor cooling using binary fluid mixtures – Year two

As the heat fluxes produced by modern high-performance microprocessors continue to rise, so too must the effectiveness of the removal of these fluxes. Accordingly, a large amount of research has focused on developing techniques to enhance cooling in computer systems. A novel method of doing so involves replacing the single-phase liquid or two phase-liquid vapor coolants typically employed in such systems with binary fluid mixtures. Previous studies indicate that this may increase mixing within the flow and/or improve the critical heat flux (CHF) of the system, potentially leading to significant increases in heat transfer. The proposed project will therefore investigate the use of such mixtures in microprocessor cooling technologies in greater detail. The first part of the project will use experiments performed in simple flows to study heat transfer in fluid mixtures and identify the mixtures capable of significantly enhancing heat transfer. In the second part of the project, these mixtures will be tested in existing microprocessor cooling technologies, including both spray cooling and microgap cooling technologies. Should the research be successful, this may allow the partner organization to increase the clock speeds, and thus the performance, of their high-performance servers.

View Full Project Description
Faculty Supervisor:

Laurent Mydlarski

Student:

Partner:

Hypertechnologie CIARA Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Elevate

High heat flux microprocessor cooling using binary fluid mixtures

As the heat fluxes produced by modern high-performance microprocessors continue to rise, so too must the effectiveness of the removal of these fluxes. Accordingly, a large amount of research has focused on developing techniques to enhance cooling in computer systems. A novel method of doing so involves replacing the single-phase liquid or two phase-liquid vapor coolants typically employed in such systems with binary fluid mixtures. Previous studies indicate that this may increase mixing within the flow and/or improve the critical heat flux (CHF) of the system, potentially leading to significant increases in heat transfer. The proposed project will therefore investigate the use of such mixtures in microprocessor cooling technologies in greater detail. The first part of the project will use experiments performed in simple flows to study heat transfer in fluid mixtures and identify the mixtures capable of significantly enhancing heat transfer. In the second part of the project, these mixtures will be tested in existing microprocessor cooling technologies, including both spray cooling and microgap cooling technologies. Should the research be successful, this may allow the partner organization to increase the clock speeds, and thus the performance, of their high-performance servers.

View Full Project Description
Faculty Supervisor:

Laurent Mydlarski

Student:

Partner:

Hypertechnologie CIARA Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Elevate

The impact of climate change on individual and compound extreme events across Eastern Canada – Application to Intensity-Duration-Frequency curves in Labrador City – Year two

The possible failure of surface water management systems is one of the main concerns in the design, construction and management of critical infrastructures such as dams, nuclear facilities and mining activities, especially in northern latitudes. Extreme rainfall and sudden snowmelt events exert major controls on surface runoff and flooding events in cold regions such as Canada. Climate variability and change can alter the severity, magnitude and concurrence of such extreme events. Although the temporal variations of individual extreme events such as temperature and rainfall have been the subject of many recent studies, their joint representation as well as the spatiotemporal variations in these multivariate components are neither well-documented nor fully understood. This research aims at understanding the nonstationarity of individual and compound hazards in Eastern Canada and more specifically in Labrador City, the mining site of Rio Tinto – Iron Ore Company of Canada (IOC), through a high-dimensional statistical framework. Downscaled future climatic data records will be used as input to a statistical projection method for modeling future snow water equivalents across the studied domain. Using predicted temperatures, rainfall and snow water equivalents, univariate and multivariate future trends of the studied extremes will be quantified.

View Full Project Description
Faculty Supervisor:

Jan Franklin Adamowski

Student:

Partner:

Iron Ore Company of Canada (QC)

Discipline:

Engineering

Sector:

Mining

University:

McGill University

Program:

Elevate

The impact of climate change on individual and compound extreme events across Eastern Canada – Application to Intensity-Duration-Frequency curves in Labrador City

The possible failure of surface water management systems is one of the main concerns in the design, construction and management of critical infrastructures such as dams, nuclear facilities and mining activities, especially in northern latitudes. Extreme rainfall and sudden snowmelt events exert major controls on surface runoff and flooding events in cold regions such as Canada. Climate variability and change can alter the severity, magnitude and concurrence of such extreme events. Although the temporal variations of individual extreme events such as temperature and rainfall have been the subject of many recent studies, their joint representation as well as the spatiotemporal variations in these multivariate components are neither well-documented nor fully understood. This research aims at understanding the nonstationarity of individual and compound hazards in Eastern Canada and more specifically in Labrador City, the mining site of Rio Tinto – Iron Ore Company of Canada (IOC), through a high-dimensional statistical framework. Downscaled future climatic data records will be used as input to a statistical projection method for modeling future snow water equivalents across the studied domain. Using predicted temperatures, rainfall and snow water equivalents, univariate and multivariate future trends of the studied extremes will be quantified.

View Full Project Description
Faculty Supervisor:

Jan Franklin Adamowski

Student:

Partner:

Iron Ore Company of Canada (QC)

Discipline:

Engineering

Sector:

Mining

University:

McGill University

Program:

Elevate

Multi-scale Image integration for Surgical Guidance – Year two

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology samples of excised tissue that must be analyzed in a pathology laboratory. Through precise image registration, this project will integrate MR/CT images, exoscope images, and images from a novel hand-held scanning laser confocal neuro endoscope device that provides histology-equivalent microscopic (AKA Digital Biopsy) images in real time. When integrated within a common framework, these multi-scale data will be visualized using an augmented reality display in real time during the surgical procedure. By registering the Stereoscopic exoscope image with the patient’s 3D MR/CT data, this approach will, for the first time, provide the surgeon with the means to immediately relate data from macroscopic MRI (target points, nerve bundles) to the mesoscopic exoscope view, and will also provide real-time imaging at the cellular level via the Digital Biopsy images. (See Figure 1 Attached).

View Full Project Description
Faculty Supervisor:

Terry Peters

Student:

Partner:

Synaptive Medical Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Manufacturing; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Elevate

Multi-scale Image integration for Surgical Guidance

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology samples of excised tissue that must be analyzed in a pathology laboratory. Through precise image registration, this project will integrate MR/CT images, exoscope images, and images from a novel hand-held scanning laser confocal neuro endoscope device that provides histology-equivalent microscopic (AKA Digital Biopsy) images in real time. When integrated within a common framework, these multi-scale data will be visualized using an augmented reality display in real time during the surgical procedure. By registering the Stereoscopic exoscope image with the patient’s 3D MR/CT data, this approach will, for the first time, provide the surgeon with the means to immediately relate data from macroscopic MRI (target points, nerve bundles) to the mesoscopic exoscope view, and will also provide real-time imaging at the cellular level via the Digital Biopsy images. (See Figure 1 Attached).

View Full Project Description
Faculty Supervisor:

Terry Peters

Student:

Partner:

Synaptive Medical Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Manufacturing; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Elevate

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